NDLI: Research on Medical Image Fusion Based on Orthogonal Wavelet Packets Transformation Combined with 2v-SVM

Content Provider	IEEE Xplore Digital Library
Author	Wang, A. Wu Jie Li Dan Chen Yu
Copyright Year	2007
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China (Wang, A.; Wu Jie; Li Dan; Chen Yu)
Abstract	This paper presents a novel medical image fusion algorithm which imports 2v-SVM -an adaptive SVM learning algorithm to medical image fusion. We combine it with orthogonal wavelet packets to generate a new image fusion rule, which intelligently constructs the "good and bad features-classifier" for improving image fusion. Then we construct a new sort of linear weighted fusion arithmetic operator, which retains the remarkable features and eliminates the redundant information of the two images. We respectively fuse two pairs of images: CT> MRI images and MRI, PET images effectively and obtain good visual effects and quality of fused image. The experiments prove that the proposed algorithm resolve the deficiencies of existing algorithms in characteristics representation and acceptance or rejection of information and provide an advanced method to medical image fusion.
Starting Page	670
Ending Page	675
File Size	1587445
Page Count	6
File Format	PDF
ISBN	9781424410774
DOI	10.1109/ICCME.2007.4381822
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Fuses Magnetic resonance imaging Fusion power generation Image generation Wavelet packets Positron emission tomography Image fusion Biomedical imaging Arithmetic
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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